Strategist, Agent Development - Public Sector

AI summary of the role

Sierra is building its founding public sector team to deploy AI agents for government agencies, leveraging FedRAMP High certification.

Own the Agent Development Life Cycle from scope through conversation design, tooling, evaluation, launch, and iteration.
Act as a strategic advisor to public sector leaders, defining success and shaping AI strategy grounded in mission impact.
Run working sessions with program, operations, technology, security, legal, and procurement stakeholders to keep deployments moving.
Identify and develop roadmaps for new use cases, including proactive outreach, multilingual access, and long-horizon agents.

Track record of leading multiple complex, high-visibility initiatives and driving cross-functional teams from ambiguity to measurable outcomes.
Technical aptitude: comfortable reading API documentation, understanding data models and system architecture, and following engineering/security tradeoffs.
Passion for public service and belief in institutions' potential to improve outcomes.
Clear, direct, persuasive communication across executive, operational, policy, and technical audiences.

AI agents · LLM · RAG · prompt engineering · eval frameworks · agent tooling · API · data models · system architecture · FedRAMP

Conversational AI agent platform for enterprise customer service, spanning chat and voice across finance, healthcare, retail, and media.

Series C

Employer postings · Data from Sep 10 · Sources